ローカルLLM
llm
Access large language models from the command-line
★ 12.6k スターApache-2.0
ガイドを見る →kotaemonは、Cinnamonが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: Cinnamon/kotaemon）。GitHubスターは25,801、フォークは2,157で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年7月14日です。
An open-source RAG-based tool for chatting with your documents.
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
Prompts and documents stay on your hardware, always.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Download the source and move into the project folder.
git clone https://github.com/Cinnamon/kotaemon.git
cd kotaemonEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Cinnamon/kotaemon with 2,157 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
Access large language models from the command-line
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LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — kotaemonが合わなかった場合に検討したい、現実的な候補リストです。
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
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カタログの中でkotaemonとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
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